Evidence map›Paper›PMID 41397137›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Rising rates of wildfire building destruction in the conterminous United States.

Amanda R Carlson, Todd J Hawbaker, Miranda H Mockrin, Volker C Radeloff, Lucas S Bair, Michael D Caggiano, James R Meldrum, Patricia M Alexandre, H Anu Kramer, Paul F Steblein

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Rising rates of wildfire building destruction in the conterminous United States.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Amanda R CarlsonU.S. Geological Survey, Geosciences and Environmental Change Science Center, Denver, CO 80225.ORCID 0000-0002-0450-2636
Todd J HawbakerU.S. Geological Survey, Geosciences and Environmental Change Science Center, Denver, CO 80225.ORCID 0000-0003-0930-9154
Miranda H MockrinU.S. Department of Agriculture Forest Service, Northern Research Station, Baltimore, MD 21228.
Volker C RadeloffDept. of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0001-9004-221X
Lucas S BairU.S. Geological Survey, Southwest Biological Science Center, Flagstaff, AZ 86001.ORCID 0000-0002-9911-3624
Michael D CaggianoU.S. Department of Agriculture Forest Service, Rocky Mountain Region, Fort Collins, CO 80526.
James R MeldrumU.S. Geological Survey, Fort Collins Science Center, Fort Collins, CO 80526.ORCID 0000-0001-5250-3759
Patricia M AlexandreDane County Land and Water Resources Department, Land Conservation Division, Madison, WI 53718.ORCID 0000-0003-1242-1710
H Anu KramerDept. of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0003-2014-0070
Paul F StebleinU.S. Geological Survey, Ecosystems Mission Area, Reston, VA 20192.

Funding

Bipartisan Infrastructure Law/Infrastructure Investment and Jobs Act IDG1000002441
6 · The paper itself

Abstract

Many regions of the world have seen an increase in highly destructive wildfires, driven by well-documented increases in burned area and growth of housing in the wildland-urban interface (WUI), which exposes more homes to fire. However, it is unclear whether wildfires are also becoming more destructive due to changes in wildfire behavior or in the development patterns of exposed communities. Here, we assessed trends in wildfire building exposure and destruction rates in the conterminous United States from 2002 to 2022. We mapped destroyed and surviving buildings within 100 m of all wildfires that destroyed 10 or more buildings (n = 362) and assessed trends relative to major ecoregions and vegetation types. We used logistic regression to assess relationships between destruction rates and landscape factors. We found that 10% of exposed buildings were destroyed in 2002-2012, but this percentage increased to 32% in 2013-2022. This increase was largely due to greater building exposure in evergreen forests in the northwestern United States, where exposed buildings were more than 3.4 times as likely to be destroyed as those in grass and shrublands. However, annual destruction rates also significantly increased in all other vegetation types and were correlated with development type, weather, and burn severity. These results indicate that increasing wildfire destruction in the United States has resulted not only from increased exposure but from rising rates of building destruction, potentially indicating more extreme wildfire behavior. This finding underscores the need to better understand how fuel management, community planning, and hardening buildings can reduce vulnerability.

Indexed as

WildfiresEcosystemForestsHousingHumansUnited Statesbuilding destructionglobal changewildfire riskwildland firewildland–urban interface

Identifiers

PMID41397137
PMCPMC12745683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.